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# VodafoneThree - Data Solutions Architect

- **Company:** Vodafonethree
- **Location:** Newbury, United Kingdom
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Architecture, Information Engineering, Data Governance, Data Warehousing, Reference Data, Strategies of Testing, Data Layers, Data Analytics, Data Management
- **Published:** October 30, 2026
- **Apply:** https://www.careerjet.co.uk/job/gbe48bc38b0a242f7607896131f34dae03/eaa

## About the Role

* Proven experience in data architecture and design, with a strong understanding of data engineering principles and practices.
 * Excellent technical skills, with expertise in data modelling, data warehousing, and data governance.
 * Strong communication and interpersonal skills, with the ability to represent Data & Analytics in business and technical forums.
 * Ability to work in a fast-paced environment, prioritizing multiple projects and tasks.
 * Strong analytical and problem-solving skills, with attention to detail and ability to think critically.

## Description

We believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. We don't require you to be in on specific days; instead, we ask people to come into the office 2-3 days each week, for at least 8 days per month. You should work with your line manager to understand what their expectations are for you, your specific role and your team., The Data and Analytics team enables data driven decision making across VodafoneThree by transforming complex datasets into clear, actionable insight. This role will be the technical lead within the UK Data & Analytics team on our key strategic programme deliveries. They will be responsible for overseeing the design of new capabilities and ensuring that our data products are developed to the highest standards and meets the needs of our customers.

 * Design Oversight: Oversee the design of existing and new data capabilities, ensuring alignment with business requirements and Data & Analytics strategy.
 * Translate business needs and products, into a business friendly data layer. Ensuring the right data elements are captured for downstream use.
 * Define the transformed data layer: Design the curated or transformed layer of data so it supports AI, reporting, analytics, and operational use cases
 * Create clear standards for definitions, field names, reference data, and metadata to improve consistency and reuse
 * Design Review: Review requirements and identify impacts on the Data & Analytics products, providing technical expertise and guidance.
 * Technical Representation: Represent Data & Analytics in business and technical forums, providing technical support and expertise to the wider team.
 * Technical Solution Review: Review and challenge low-level technical solutions, tooling assessments, and test strategies to ensure alignment with Data & Analytics standards and best practices.
 * Team Leadership: Lead and develop onshore team members and multiple external resources, fostering a high-performance, ownership-driven, and continuously improving delivery culture.